README.md

metadata

base_model: Bllossom/llama-3.1-Korean-Bllossom-Vision-8B
library_name: peft
license: llama3.1
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: lora_FA2_llama-3.1-Korean-Bllossom-Vision-8B_nhn-vision-qa-dataset
    results: []

lora_FA2_llama-3.1-Korean-Bllossom-Vision-8B_nhn-vision-qa-dataset

This model is a fine-tuned version of Bllossom/llama-3.1-Korean-Bllossom-Vision-8B on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-07
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 8
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.43.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1